Table 2.1: Excerpt of data gathered from 120 CEOs of JSE-listed firms. Respondents’ # Average number of peer-reviewed ar
Posted: Thu May 12, 2022 2:06 pm
Table 2.1: Excerpt of data gathered from 120 CEOs of JSE-listed
firms. Respondents’ # Average number of peer-reviewed articles read
weekly by CEO Return on Shareholders’ equity (ROE, in %) 1 4 12,50
2 1 10,42 3 5 18,00 4 6 22,75 5 8 27,16 6 3 17,85 7 2 9,21 8 7
31,08 9 1 6,62 10 3 12,22 11 5 14,08 12 3 9,50 13 4 12,26 14 4
16,50 15 5 18,64 … … … 120 6 19,55 With the help of a data analyst,
the CEO conducted the analysis of the data using IBM SPSS
Statistics version 25 and the following output was generated: Table
2.2: Test of Normality of ROE Tests of Normality
Kolmogorov-Smirnova Shapiro-Wilk Statistic df Sig. Statistic df
Sig. ROE .098 120 .200 .973 120 .167 a. Lilliefors Significance
Correction Table 2.3: Correlation of Average Number of Articles
Read – ROE Correlations Average number of articles read ROE Average
number of articles read Pearson Correlation 1.000 .799 ** Sig.
(2-tailed) .000 N 120 120 ROE Pearson Correlation .799** 1.000 Sig.
(2-tailed) .000 N 120 120 **. Correlation is significant at the
0.05 level (2-tailed). Table 2.4: Regression Model Summary of
Average Number of Articles – ROE Model Summary b Model R R Square
Adjusted R Square Std. Error of the Estimate 1 .799a .638 .624
6.992 a. Predictors: (Constant), Average number of articles read b.
Dependent Variable: ROE Table 2.5: Results of ANOVA for the Average
Number of Articles Read – ROE model ANOVAa Model Sum of Squares df
Mean Square F Sig. 1 Regression 1089.416 1 1089.416 153.919 .000 b
Residual 835.185 118 7.0778 Total 1924.601 119 a. Dependent
Variable: ROE b. Predictors: (Constant), Average number of articles
read Table 2.6: Regression Coefficients for the Average Number of
Articles Read – ROE Model Coefficientsa Model Unstandardized
Coefficients Standardized Coefficients B Std. Error Beta t Sig. 1
(Constant) 3.525 1.897 1.935 .041 Average number of articles read
2.498 0.453 .799 6.528 .000 a. Dependent Variable: ROE REQUIRED:
2.1 State the aim of the study. (2 marks) 2.2 Identify the
Independent (IV) and dependent (DV) variables implicit in the
study. (2 marks) 2.3 Formulate the null and alternative hypotheses
for the study. (2 marks) Based on the output, comment on the
strength, direction and significance of the correlation between the
independent and dependent variables. Please quote the relevant
statistic to substantiate your answer. 2.4 (6 marks) On the basis
of the regression output and using the standard reporting format,
comment on the relationship between “Average number of articles
read” and “ROE”. 2.5 (6 marks) 2.6 State the regression equation of
the ‘Average number of articles – ROE’ model. (2 marks
firms. Respondents’ # Average number of peer-reviewed articles read
weekly by CEO Return on Shareholders’ equity (ROE, in %) 1 4 12,50
2 1 10,42 3 5 18,00 4 6 22,75 5 8 27,16 6 3 17,85 7 2 9,21 8 7
31,08 9 1 6,62 10 3 12,22 11 5 14,08 12 3 9,50 13 4 12,26 14 4
16,50 15 5 18,64 … … … 120 6 19,55 With the help of a data analyst,
the CEO conducted the analysis of the data using IBM SPSS
Statistics version 25 and the following output was generated: Table
2.2: Test of Normality of ROE Tests of Normality
Kolmogorov-Smirnova Shapiro-Wilk Statistic df Sig. Statistic df
Sig. ROE .098 120 .200 .973 120 .167 a. Lilliefors Significance
Correction Table 2.3: Correlation of Average Number of Articles
Read – ROE Correlations Average number of articles read ROE Average
number of articles read Pearson Correlation 1.000 .799 ** Sig.
(2-tailed) .000 N 120 120 ROE Pearson Correlation .799** 1.000 Sig.
(2-tailed) .000 N 120 120 **. Correlation is significant at the
0.05 level (2-tailed). Table 2.4: Regression Model Summary of
Average Number of Articles – ROE Model Summary b Model R R Square
Adjusted R Square Std. Error of the Estimate 1 .799a .638 .624
6.992 a. Predictors: (Constant), Average number of articles read b.
Dependent Variable: ROE Table 2.5: Results of ANOVA for the Average
Number of Articles Read – ROE model ANOVAa Model Sum of Squares df
Mean Square F Sig. 1 Regression 1089.416 1 1089.416 153.919 .000 b
Residual 835.185 118 7.0778 Total 1924.601 119 a. Dependent
Variable: ROE b. Predictors: (Constant), Average number of articles
read Table 2.6: Regression Coefficients for the Average Number of
Articles Read – ROE Model Coefficientsa Model Unstandardized
Coefficients Standardized Coefficients B Std. Error Beta t Sig. 1
(Constant) 3.525 1.897 1.935 .041 Average number of articles read
2.498 0.453 .799 6.528 .000 a. Dependent Variable: ROE REQUIRED:
2.1 State the aim of the study. (2 marks) 2.2 Identify the
Independent (IV) and dependent (DV) variables implicit in the
study. (2 marks) 2.3 Formulate the null and alternative hypotheses
for the study. (2 marks) Based on the output, comment on the
strength, direction and significance of the correlation between the
independent and dependent variables. Please quote the relevant
statistic to substantiate your answer. 2.4 (6 marks) On the basis
of the regression output and using the standard reporting format,
comment on the relationship between “Average number of articles
read” and “ROE”. 2.5 (6 marks) 2.6 State the regression equation of
the ‘Average number of articles – ROE’ model. (2 marks